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Effect of noise in intelligent cellular decision making

Bates, R; Blyuss, O; Alsaedi, A; Zaikin, A; (2015) Effect of noise in intelligent cellular decision making. PLOS ONE , 10 (5) , Article e0125079. 10.1371/journal.pone.0125079. Green open access

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Abstract

Similar to intelligent multicellular neural networks controlling human brains, even single cells surprisingly are able to make intelligent decisions to classify several external stimuli or to associate them. This happens because of the fact that gene regulatory networks can perform as perceptrons, simple intelligent schemes known from studies on Artificial Intelligence. We study the role of genetic noise in intelligent decision making at the genetic level and show that noise can play a constructive role helping cells to make a proper decision. We show this using the example of a simple genetic classifier able to classify two external stimuli.

Type: Article
Title: Effect of noise in intelligent cellular decision making
Open access status: An open access version is available from UCL Discovery
DOI: 10.1371/journal.pone.0125079
Publisher version: http://dx.doi.org/10.1371/journal.pone.0125079
Additional information: © 2015 Bates et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Keywords: q-bio.MN, q-bio.MN
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health > Womens Cancer
URI: https://discovery.ucl.ac.uk/id/eprint/1453126
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